Artificial neural networks (ANN) are computational systems that "learn" to perform tasks by considering examples, generally without being programmed with any task-specific rules.
A-Paper-A-Week
The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.
Tensorflow implementation of the HarvardNLP paper - What You Get Is What You See: A Visual Markup Decompiler (https://arxiv.org/pdf/1609.04938v1.pdf)
A multi-layer neural network in PHP. Features momentum learning, custom activation functions, and detection & prevention of over-fitting your data.
List of interesting articles on different topics of machine learning and deep learning
Pull stock prices from online API and perform predictions using Long Short Term Memory (LSTM) with TensorFlow.js framework
OKAI - An Interactive Introduction to Artificial Intelligence (AI)
Make pytorch and tensorflow two become one.
My personal repository of notes served through Github pages at http://www.ritchieng.com/
Your Private Companion. The future AGI takeover starts here!
This code will help the users to get an idea of the accidents well before the accident took place
FloydHub's documentation code. Contributions welcome!
Jogando na Lotofácil utilizando rede neural.
Depth estimation with neural network, and learning on RGBD images
A Deep NN used to generate stories which will tingle your butt.
Machine Learning Applications using Sklearn, matplotlib, pandas, and seaborn
Software for developing sparse, performant, multitask artificial neural networks
Building and Training Neural Networks with an R interface